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Combination of Complementary Features for Automatic Image Annotation

International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 122 - Number 19
Year of Publication: 2015
Rekhil M Kumar
Sreekumar K

Rekhil M Kumar and Sreekumar K. Article: Combination of Complementary Features for Automatic Image Annotation. International Journal of Computer Applications 122(19):21-27, July 2015. Full text available. BibTeX

	author = {Rekhil M Kumar and Sreekumar K},
	title = {Article: Combination of Complementary Features for Automatic Image Annotation},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {122},
	number = {19},
	pages = {21-27},
	month = {July},
	note = {Full text available}


Image annotation is a method for representing an image with a suitable keyword closer to its semantic concept. Automatically assigning relevant text keywords to image is an important problem. Many algorithms and combination of different features have been proposed in the past and achieved good performance. Efforts have focused upon many other fields and some predefined set of features in the area of Automatic image annotation. But properties of features and their complementing combinations have not been well investigated. In this paper the performance of different feature combinations are compared, and find out the one which outperforms the other combinations by applying the Fuzzy K-nearest neighbor algorithm as the classification method.


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